Bamdev Mishra

Principal Applied Scientist

Publications

View by:

- Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, Ishita Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  2026 ICML 2026 | June 2026
  
  DOI
- Minibatch Selection via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, I. Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
  
  Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication

- Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, Ishita Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  2026 ICML 2026 | June 2026
  
  DOI
- Minibatch Selection via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, I. Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
  
  Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication
- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication

- Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, Ishita Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  2026 ICML 2026 | June 2026
  
  DOI
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
  
  Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Minibatch Selection via Partition Matroid Constrained Gradient Matching
  
  Prayas Agrawal, Prateek Chanda, I. Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication

Bamdev Mishra

Publications

Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching

Minibatch Selection via Partition Matroid Constrained Gradient Matching

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching

Minibatch Selection via Partition Matroid Constrained Gradient Matching

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

Minibatch Selection via Partition Matroid Constrained Gradient Matching

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach